Brain-machine interfaces (BMIs) combine methods, approaches, and concepts derived from
neurophysiology, computer science, and engineering in an effort to establish real-time …

Patient biopotentials are usually measured with conventional disposable Ag/AgCl
electrodes. These electrodes provide excellent signal quality but are irritating for long-term …

Electroencephalography (EEG) and magnetoencephalography (MEG) are non-invasive
electrophysiological methods, which record electric potentials and magnetic fields due to …

Measurement of muscle contraction is mainly achieved through electromyography (EMG)
and is an area of interest for many biomedical applications, including prosthesis control and …

Voluntary hand movements are usually impaired after a cerebral stroke, affecting millions of
people per year worldwide. Recently, the use of hand exoskeletons for assistance and motor …

In the present study, novel dry-contact sensors for measuring electro-encephalography
(EEG) signals without any skin preparation are designed, fabricated by an injection molding …

Descriptions of resilient performance in healthcare services usually emphasize the role of
skills and knowledge of caregivers. At the same time, the human factors discipline often …

Signals from peripheral physiology (eg, ECG, EMG, and GSR) in conjunction with machine
learning techniques can be used for the automatic detection of affective states. The affect …

Human machine interfaces (HMIs) are employed in a broad range of applications, spanning
from assistive devices for disability to remote manipulation and gaming controllers. In this …

This paper presents a research dealing with the dependence of the fatigue strength of
maraging steel parts, manufactured by direct selective laser sintering, on the production …